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  • 标题:An Exclusive Survey on Web Usage Mining For User Identification
  • 本地全文:下载
  • 作者:Satpal Singh ; Vivek Badhe
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:11
  • 出版社:S&S Publications
  • 摘要:Web mining has been explored to a vast degree with different techniques that has been proposed for avariety of applications. Most research on web mining has been done on “data-centric” point of view and a few workshas been done on “user-centric” view. In this paper we explored the definition of web-user and also examined thevarious dimensions of temporal web mining.In web usage mining, web log file plays an important roll, some fields of the web log file are used frequently and someother fields like DateTime are rarely used. They are in advertently removed in the cleaning session. This paperemphasizes the importance of these fields, which can be very useful for user identification process.We study in particular the behaviour of web-usage data over a period of time. In this paper we have suggested thedifferent view point for finding the web-user on the basic of temporal approach. Such kind of analysis could be usefulfor target marketing based on time or for web services optimization.
  • 关键词:Web mining; Web usage mining; Web log; User identification; Temporal web mining
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